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Netlab Reference Manual demprior
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<H1> demprior
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<h2>
Purpose
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Demonstrate sampling from a multi-parameter Gaussian prior.

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Synopsis
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<PRE>
demprior</PRE>


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Description
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This function plots the functions represented by a multi-layer perceptron
network when the weights are set to values drawn from a Gaussian prior
distribution. The parameters <CODE>aw1</CODE>, <CODE>ab1</CODE> <CODE>aw2</CODE> and <CODE>ab2</CODE> 
control the inverse variances of the first-layer weights, the hidden unit 
biases, the second-layer weights and the output unit biases respectively. 
Their values can be adjusted on a logarithmic scale using the sliders, or 
by typing values into the text boxes and pressing the return key. 

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See Also
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<CODE><a href="mlp.htm">mlp</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
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<p>Copyright (c) Ian T Nabney (1996-9)


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